capability-feature-measurement
| Crates.io | capability-feature-measurement |
| lib.rs | capability-feature-measurement |
| version | 0.1.0 |
| created_at | 2025-07-13 11:56:56.106089+00 |
| updated_at | 2025-07-13 11:56:56.106089+00 |
| description | A Rust crate providing a trait-based system for measuring and evaluating complexity, branching, density, and configuration of tree-like data structures. |
| homepage | |
| repository | |
| max_upload_size | |
| id | 1750407 |
| size | 189,799 |
(klebs6)
documentation
README
Grower Skill Tree Feature Measurement
The capability-feature-measurement crate provides a suite of traits and data structures for measuring and evaluating tree-like configurations. Ideal for applications requiring in-depth analyses of node-based data structures, it allows developers to statistically analyze parameters such as tree depth, breadth, density, sub-branch ordering, and more. This crate is versatile, catering to various tree-like structures, including custom skeletons, and offers the capacity to juxtapose actual versus expected configuration outcomes.
Key Features
- Complexity Measurement: Determines the overall complexity category (
Simple,Balanced,Complex) the tree might belong to. - Depth and Breadth Analysis: Measures maximum depth and node child distribution across the structure.
- Density Evaluation: Assists in understanding leaf density and variant distribution among tree nodes.
- Weighted Branching and Symmetry: Evaluates child node counts against mean and variance-based expectations; measures balance or asymmetry.
- Level-specific Metrics: Captures aggregate node statistics at defined levels and highlights potential skips.
Usage
To use this crate, implement the specified traits for your data structures (e.g., Skeleton, StringSkeleton) that represent tree configurations. Each implementation facilitates precise measurements, ensuring conformity or highlighting discrepancies with expected behaviors or configurations.
Add the crate to your Cargo.toml:
[dependencies]
capability-feature-measurement = "0.1.0"
Implement the necessary traits from the crate to enhance your data structures with tree measurement capabilities, thereby aiding in tree configuration analysis applications.
This README.md file was generated by an AI model and may not be 100% accurate, however, it should be pretty good.